/**
* Creates labels with the squared error sums for the different clusters, as well as creates one
* total squared error, which is the sum of the squared error from the different clusters
*
* @param r
* @return
*/
private ArrayList<Label> getSquaredErrors(Results r) {
ArrayList<Label> errorLabels = new ArrayList<>();
double[] errors = r.getSquaredErrors();
double totalErrors = 0;
errorLabels.add(new Label(" ")); // Adds an empty row
// Calculate the number of digits in the largest error.
// This'll be used to place the numbers in the labels correctly
double largestNr = 0;
for (double d : errors) {
if (Math.abs(d) > largestNr) largestNr = Math.abs(d);
}
int offset = (int) (Math.log10(largestNr) + 6);
for (int i = 0; i < errors.length; i++) {
Label label = new Label(String.format("SSE Clu" + i + ": %" + offset + ".4f", errors[i]));
DataTable.skinDataLabel(label);
totalErrors += errors[i];
errorLabels.add(label);
}
Label blank = new Label(" ");
Label total = new Label("Total SSE");
Label val = new Label(String.format("%.4f", totalErrors));
total.setStyle("-fx-underline: true;");
DataTable.skinDataLabel(blank);
DataTable.skinDataLabel(total);
DataTable.skinDataLabel(val);
errorLabels.add(blank);
errorLabels.add(total);
errorLabels.add(val);
return errorLabels;
}
private ArrayList<Label> getMiscDataLabels(Results r) {
ArrayList<Label> miscDataLabels = new ArrayList<>();
ArrayList<Pair<String, Double>> miscData = r.getMiscData();
miscDataLabels.add(new Label(" ")); // Adds an empty row
for (int i = 0; i < miscData.size(); i++) {
Pair<String, Double> data = miscData.get(i);
Label label = new Label(data.left + ": " + data.right);
DataTable.skinDataLabel(label);
miscDataLabels.add(label);
}
return miscDataLabels;
}